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Field
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signal processing, with a strong emphasis on quantitative methods. The DAF Technology Lab is a university facility consisting of office space, three research cabins and two CAVE (Cave Automatic Virtual
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therefore provide additional diagnostic and prognostic insight. This project focuses on validating the presence of occipital Aβ burden, developing the optimal approach for assessing amyloid-PET signal in
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diversities. The point of departure is "people"—their routines and travel behaviours, their daily frustrations with various mobility obstacles, and the impact of these hindrances on their personal, social, and
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of this project is the holistic experience of urban mobility in the daily lives of individuals with physical and cognitive diversities. The point of departure is "people"—their routines and travel behaviours
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data acquisition, and sensor integration (vibration, AE, thermal). Strong background in signal processing and machine learning (Python and/or MATLAB), with a track record in diagnostics/prognostics
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to investigate structure-property relationships of the synthesized materials both from fundamental point of view and for industrial application in CO2 separation and storage processes; You are open to
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signals for richer, more natural interaction. In this project, you will carry out research as described in the project proposal, which includes: Developing generative models that produce gestures grounded
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: responsive to objects and to interlocutors, aligning speech and visual signals for richer, more natural interaction. In this project, you will carry out research as described in the project proposal, which
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end of operations; they develop the science operation systems for the missions and conduct the mission science operations in flight; they archive and curate the mission data during operations and beyond
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19 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Programming Engineering » Computer engineering Engineering » Electrical